Dushyant Rao joined the Mobile Robotics Group in 2016 as a postdoctoral researcher, working on perception and planning for autonomous ground vehicles.
Dushyant is currently pursuing the following research topics:
- Multimodal object detection and classification from LIDAR and camera data
- Adaptive representation learning for lifelong perception
- Online semi-supervised learning and multi-task learning
Dushyant holds a BEng (Mechatronics – Space) and BSc (Nanoscience) from the University of Sydney, an MSc in Aerospace Engineering from the University of Illinois at Urbana-Champaign, and a PhD from the Australian Centre for Field Robotics at the University of Sydney. His PhD research was on multimodal deep learning for autonomous underwater vehicles from visual images and sonar data. In addition, his undergraduate and master’s theses were focused on motion planning for an underwater glider, and localisation & mapping for a micro-aerial vehicle, respectively.
In his spare time, Dushyant is an avid guitarist and loves to travel.
[bibtex author=Rao group=year group_order=desc file=http://www.robots.ox.ac.uk/~mobile/Papers/MRGBib.bib]
[bibtex author=Rao group=year group_order=desc file=http://www.robots.ox.ac.uk/~mobile/Papers/NonMRGBib.bib]